How to Save Variable to a Dataframe inside a For Loop in Python?

Question

I have a more complicated code but I just created this simple example to explain what I need to do.

for i in np.arange(0,360): 
    r = 2*i
    print(r)
    d = {'r': [r]}
    df = pd.DataFrame(data=d)

Instead of printing r, how would I save r into the dataframe df? I tried to replicate an example from the documentation for dataframes but I'm lost how to properly add every iteration of r to the dataframe.

It's not clear what you intend, because df is a dict, not a data frame. Regardless of the terminology, you're asking us how to assign to a well-documented data structure -- just what confuses you from the tutorials and examples on your data type? — Prune
– Prune, Commented Aug 3, 2021 at 19:20
Please repeat on topic and how to ask from the intro tour. You're still confusing the two data structures. On each loop, you set d to a single-element dict, and then convert that to a single-row data frame, overwriting the original data frame. Please work through a tutorial on data frames to see how to initialize them from various sources. — Prune
– Prune, Commented Aug 3, 2021 at 20:54

Jayakrishnan · Accepted Answer · 2021-08-03 19:23:44Z

1

You could store the it as key-value pairs where the key will the value of i and r will be it's 2*i.

for i in np.arange(0,360): 
    r = 2*i
    df[i] = r

If you want you can also combine this dict into your existing dataframe.

answered Aug 3, 2021 at 19:23

Jayakrishnan

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